Package: GenAlgo 2.2.0

Kevin R. Coombes

GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection

Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.

Authors:Kevin R. Coombes

GenAlgo_2.2.0.tar.gz
GenAlgo_2.2.0.tar.gz(r-4.5-noble)GenAlgo_2.2.0.tar.gz(r-4.4-noble)
GenAlgo_2.2.0.tgz(r-4.4-emscripten)GenAlgo_2.2.0.tgz(r-4.3-emscripten)
GenAlgo.pdf |GenAlgo.html
GenAlgo/json (API)
NEWS

# Install 'GenAlgo' in R:
install.packages('GenAlgo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://r-forge.r-project.org/projects/oompa

Datasets:

microarrayclustering

2.20 score 16 scripts 218 downloads 13 exports 9 dependencies

Last updated 4 years agofrom:7476f7f38f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-linuxOKNov 23 2024

Exports:as.data.frameas.matrixGenAlghistimagemahanewGenerationplotpopDiversityselectionFitnessselectionMutatesimpleMutatesummary

Dependencies:BiobaseBiocGenericsClassDiscoveryclustergenericsMASSmclustoompaBaseoompaData

OOMPA GenAlgo

Rendered fromgenalg.Rnwusingutils::Sweaveon Nov 23 2024.

Last update: 2018-10-17
Started: 2017-07-13

Readme and manuals

Help Manual

Help pageTopics
Results of a Genetic Algorithmdiversity fitter gaTourResults meanfit recurse
A generic Genetic Algorithm for feature selectionGenAlg newGeneration popDiversity
Class "GenAlg"as.data.frame,GenAlg-method as.matrix,GenAlg-method GenAlg-class summary,GenAlg-method
Utility functions for selection and mutation in genetic algorithmsGenAlg-tools selectionFitness selectionMutate simpleMutate
Compute the (squared) Mahalanobis distance between two groups of vectorsmaha
Tour de France 2009tourData09